16.05.2014 Views

Australia's Gambling Industries - Productivity Commission

Australia's Gambling Industries - Productivity Commission

Australia's Gambling Industries - Productivity Commission

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Figure U.1<br />

Player returns from a gaming machine a<br />

Black Rhino return distribution from one hour of play<br />

7<br />

6<br />

A loss<br />

Frequency (%)<br />

5<br />

4<br />

3<br />

A win<br />

2<br />

1<br />

0<br />

44 - 46%<br />

52 - 54%<br />

60 - 62%<br />

68 - 70%<br />

76 - 78%<br />

84 - 86%<br />

92 - 94%<br />

100 - 102%<br />

108 - 110%<br />

116 - 118%<br />

124 - 126%<br />

Player return (%)<br />

132 - 134%<br />

140 - 142%<br />

148 - 150%<br />

156 - 158%<br />

164 - 166%<br />

172 - 174%<br />

180 - 182%<br />

188 - 190%<br />

196 - 198%<br />

a This is based on a particular poker machine game, Black Rhino, whose details were provided by Aristocrat.<br />

The player price results are based on 100 000 simulations of a gambler making 720 button pushes (playing<br />

nine lines). 720 button pushes amounts to around 1 hour of continuous play. The consumer return rate of the<br />

version of Black Rhino simulated is 87.84 per cent (with the simulation average being 87.82 per cent, within<br />

0.02 per cent of the actual price).<br />

Data source: <strong>Commission</strong> estimates.<br />

The rate of return is equal for each playing strategy, but the variance — the spread<br />

of results — is much greater for the first strategy than the second. The person who<br />

plays gaming machines the first way has a higher probability of a bigger win<br />

(because payouts for a line win are a multiple of the credits bet on that line), but<br />

also a higher probability of losing more. The distribution of returns from playing for<br />

one hour for each playing style is illustrated in figure U.2, based on the results of<br />

10 000 gaming machine simulations in each case. For example, for around 21<br />

per cent of occasions the hourly returns are below 70 per cent using player style 1<br />

compared to less than 10 per cent of occasions for player style 2. On the other hand,<br />

for around 15 per cent of occasions the hourly returns are above 110 per cent using<br />

player style 1 compared to 6 per cent of occasions for player style 2.<br />

The example also illustrates the point that the likelihood of having a net win can<br />

vary significantly over the shorter run, depending on play style, even though the<br />

expected return is the same. However, as noted in chapter 16, the <strong>Commission</strong> still<br />

HOW GAMING<br />

MACHINES WORK<br />

U.7

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!